240 results about "Soil mass" patented technology

The invention discloses a large-diameter shield tunneling parameter optimization method and system based on digital twinning, and relates to the technical field of shield tunnel numerical simulation, machine learning and digital twinning, and the method comprises the steps: obtaining shield tunnel construction site data, and constructing a virtual digital twinning body; building a training sample set based on virtual numerical twinborn generation data; training an agent model by using the training sample set; during construction, actual stratum response data and tunneling parameter data are obtained in real time, the real-time data are input into the soil mass parameter inversion agent model, and the optimal value of the soil mass parameter is rapidly output; the optimal value is input into the virtual digital twin, and dynamic real-time updating of numerical simulation is carried out; and on the basis of the updated soil parameter data and the tunneling parameter data in the next construction step, stratum response prediction data are obtained through the stratum response prediction agent model, so that the tunneling parameter data are adjusted and optimized. According to the invention, more accurate numerical simulation and safe and efficient tunneling of the shield tunnel can be realized.

The invention discloses a dangerous rock falling motion feature prediction method based on multi-source data fusion, and belongs to the technical field of engineering geology. Comprising the steps of collecting dangerous rock multi-source data to construct a basic information base; processing dangerous rock multi-source data based on a CNN algorithm, identifying a dangerous rock contour and calculating geometric features; the dangerous rock multi-source data is processed through multiple algorithms, and the terrain is reconstructed to generate a digital elevation and terrain model; analyzing a vibration signal frequency spectrum, quantifying dangerous rock multi-source data features and determining a fusion weight; fusing the multi-source data of the dangerous rock to construct a three-dimensional real scene model and construct a physical and mechanical model; establishing a historical database, selecting a machine learning algorithm to construct a data driving model, and adopting an optimization algorithm to predict a rockfall movement track and state; and determining a two-dimensional simulation key section, establishing a two-dimensional numerical model, and dynamically simulating and calculating rockfall movement and rock-soil body response. According to the scheme, the defects in the aspects of dangerous rock falling motion feature prediction and protection design in the prior art are overcome, and the prediction accuracy and efficiency are improved.

The invention discloses a weak intercalated layer control-based closed conduit-slope system optimization layout method, which comprises the following steps of S1, geological survey and parameter acquisition: accurately positioning a weak intercalated layer through a geological radar and drilling coring, and determining a rock-soil body strength parameter by combining a laboratory rock-soil mechanical test, geological radar data and rock-soil body strength parameters are analyzed through a random forest algorithm, and the interlayer space distribution rule is predicted. By combining geological survey, numerical simulation, intelligent optimization and dynamic monitoring technologies, scientific layout and adjustment of a closed conduit-side slope system are realized, a weak intercalated layer seepage path is accurately cut off, the safety coefficient of the side slope is effectively improved, meanwhile, expansion of a plastic zone is effectively inhibited, settlement of an overlying soil body or large-range deformation of the side slope is reduced, and the stability of the side slope is improved. The seepage stability and the stress slow release capacity of the system are enhanced, the safety of the water diversion project in a complex geological area is improved, and an operable technical path and basis can be provided for layout of similar projects in the future.

The invention discloses an embankment hidden danger detection and early warning method and system based on electric field and electromagnetic field coupling, and the method comprises the following steps: obtaining and processing the resistivity and dielectric constant of an embankment dam body, constructing a joint inversion objective function based on a processing result, and carrying out the detection and early warning of the embankment hidden danger. A joint inversion model is established, a minimum joint inversion objective function is used for solving, a multi-physics field joint inversion result is obtained and used for delineating an abnormal area, a time-shifting resistivity monitoring network is arranged in the area for detection, the seepage velocity is obtained, soil mass mechanical parameters are defined, and the seepage velocity is calculated. And constructing an embankment hidden danger numerical model, using seepage velocities as boundary condition input, simulating embankment dam body stability safety coefficients under different seepage velocities, setting an early warning threshold value, and giving an alarm when the embankment dam body stability safety coefficients reach the early warning threshold value. Through coupling analysis of the earth electric field, the seepage velocity and the like, data multiplicity is effectively eliminated, the defect resolution is remarkably improved, and the misjudgment risk is greatly reduced.

The invention relates to the technical field of earthwork compaction, and discloses a pipe ditch backfilling and tamping system based on excavator modification. The system comprises an earthwork condition dynamic sensing module which captures a bucket tooth track, a hydraulic oil cylinder pressure pulse and a soil mass vibration spectrum in real time and combines a historical database to construct a model to output a theoretical compaction degree curve; a multi-source compaction difference analysis module performs three-dimensional deviation detection on the theoretical curve and the actual settlement volume data to generate a construction grid-level compaction difference tensor; the defect area association mapping module inputs the tensor into a geological topology analysis network, generates a loose defect propagation path probability cloud chart by combining soil parameters and identifies weak sections; and the tamping strategy self-adaptive configuration module automatically sets operation parameters according to the cloud picture, activates high-precision monitoring on a high-probability defect section, and applies a dynamic excitation force test on adjacent grids, so that intelligent management and control of the backfilling and compacting process are realized.

The invention discloses an expansive soil free expansion rate and permeability coefficient field test device and method, relates to the technical field of expansive soil tests, and aims to solve the problems that in the prior art, expansive soil expansion potential judgment standards are not unified, and test data discreteness is large. Comprising a cutting ring assembly, a moisture content measuring assembly, a displacement measuring assembly and a water supply assembly. The cutting ring assembly is used for fixing a test soil body; the moisture content measuring assembly monitors the moisture content of the soil body in real time; the displacement measuring assembly records soil surface and deep displacement; the water supply assembly controls water injection. The test method comprises a test method and a numerical analysis method, the permeability coefficient and the free expansion rate of the soil body are calculated by injecting water and monitoring the moisture content and the displacement change of the test soil body, a moisture content curve is fitted by combining numerical analysis, the expansion coefficient and the saturated moisture content are solved, and the free expansion rate of the soil body is finally determined. The free expansion rate and the permeability coefficient of the expansive soil are rapidly and accurately measured on site, the expansion potential is judged, and a reliable basis is provided for engineering application.

The invention relates to the technical field of mine engineering, and discloses a mine geotechnical engineering monitoring and evaluation emergency feedback system and method.The mine geotechnical engineering monitoring and evaluation emergency feedback system comprises a data acquisition module, a data processing module, a risk assessment module, an emergency feedback module and a user interaction module; the temperature, humidity, stress, displacement and other parameters of the underground rock-soil body of the mine can be collected in real time, and the collected data are transmitted to the data processing module through a wireless network; the data processing module processes and analyzes the collected data through a data fusion algorithm; the risk assessment module dynamically assesses the stability of the rock-soil body based on the real-time monitoring data; and the emergency feedback module automatically generates an emergency response scheme according to the evaluation result and notifies related personnel. According to the method, the safety of mine engineering can be remarkably improved, potential risks are reduced, the life safety of mine operators is guaranteed, the accident occurrence probability is reduced, and smooth production and operation of mines are guaranteed.

The invention relates to the technical field of rock / soil mass seepage-stress coupling, and discloses a rock-soil mass seepage-stress coupling visualization device and a test method thereof. The rock-soil body seepage-stress coupling visualization device integrates a seepage pressure system controlled by a high-precision plunger pump, a confining pressure and back pressure control system, a loading and measuring device and a visualization observation system composed of a PIV particle image measuring instrument and a three-dimensional XTDIC full-field strain measuring system, and an experiment platform with comprehensive and accurate functions is formed. The device not only can accurately control and measure the seepage pressure, but also can carry out permeability research on the rock / soil body in various stress states, and directly observes and records the seepage field and the structural evolution process in the rock / soil body through an intuitive visual means. The device not only improves the experiment efficiency, but also greatly enhances the intuition and accuracy of research, and provides powerful support for deeply understanding the microscopic and macroscopic behaviors of the rock / soil body under the seepage-stress coupling action.

In a first step, a pretreatment for measuring a moisture characteristic of soil is performed. The pretreatment can be removal of moisture from the soil of interest. For example, removing water that is a cause of a soil mass can be the pretreatment. Next, in a second step, the moisture characteristic of the soil subjected to the pretreatment is measured. The moisture characteristic is a water content of the soil. In addition, the moisture characteristic is a matrix potential value at a specified soil water content. Next, in a third step, the corrosion of the metal member buried in the soil is estimated from the measured moisture characteristic.

The invention relates to the technical field of grouting simulation, in particular to an efficient simulation method and system for grouting at different temperatures based on deep learning, and the method comprises the steps: constructing a relational expression between a rock-soil mass medium and the change of a grouting material under different temperature conditions; the rock-soil mass medium and grouting material change relational expressions under different temperature conditions comprise a relational expression of temperature and porosity, a relational expression of temperature and stress strain, and a relational expression of temperature and slurry viscosity; on the basis of actual stratum data of the grouting area, to-be-determined parameters in all the relational expressions are obtained through fitting; constructing an improved recurrent neural network; training the improved recurrent neural network to obtain a trained improved recurrent neural network; and inputting the temperature of the to-be-predicted grouting area into the trained improved recurrent neural network to obtain the slurry flow velocity and the slurry permeation and diffusion distance of the to-be-predicted grouting area. And efficient simulation of the whole grouting process at different temperatures is realized.

The invention relates to the technical field of geotechnical engineering monitoring, in particular to a soil erosion and particle migration prediction method and system based on acoustic emission monitoring, and the method comprises the following steps: obtaining a soil mass ratio parameter, and preparing a soil sample based on the soil mass ratio parameter to obtain a test soil sample; constructing a multi-field coupling test mechanism to perform a multi-field coupling soil body test on the test soil sample; establishing a soil sample data acquisition device to obtain soil sample monitoring data in the multi-field coupling soil body test process; obtaining acoustic emission characteristic parameters of the test soil body according to the soil sample monitoring data, and establishing a multivariate nonlinear regression model; and constructing a soil body prediction model to realize prediction of soil body erosion and particle migration. Through fusion of multi-field coupling monitoring and machine learning, limitation of a traditional empirical model is broken through, high-precision dynamic prediction of soil erosion and particle migration is realized, a scientific basis is provided for stability evaluation of roadbed engineering, and prediction reliability and engineering applicability are remarkably improved.

The invention provides a landslide probability prediction method and system, computer equipment and a storage medium, and belongs to the field of geological disaster early warning, and the method comprises the steps: obtaining the soil cohesion, internal friction angle and permeability coefficient of rock soil in a landslide region to be predicted; random field generation is carried out on the soil body cohesion, the internal friction angle and the permeability coefficient of the rock soil in the landslide area to be predicted, and soil body cohesion random field data, internal friction angle random field data and permeability coefficient random field data are obtained; carrying out discrete processing on the soil mass cohesion random field data, the internal friction angle random field data and the permeability coefficient random field data to obtain random variables of rock soil in the landslide area to be predicted; inputting the random variables of the rock and soil of the landslide area to be predicted into a pre-trained machine learning model, and calculating and outputting a plurality of slope safety coefficients; and determining the failure probability of the rock soil of the to-be-predicted landslide area according to the plurality of slope safety factor sets. According to the method, soil parameter spatial variability is considered, and the landslide probability prediction accuracy is improved.

The invention provides a field slope stability monitoring method based on acoustic emission, and belongs to the technical field of field slope stability monitoring. In order to solve the technical problems of large soil mass fracture signal attenuation, strong noise interference and poor real-time performance of traditional monitoring in the existing loess slope instability monitoring, the adopted technical scheme is as follows: an inclined hole channel is drilled in the main sliding direction of a slope body by adopting a hydraulic guide drilling machine; vertically inserting the manufactured passive waveguide device from the top surface of the slope top, burying the manufactured active waveguide device into the drilled inclined hole channel, and burying the surface of a slope body by using an in-situ soil body; the acoustic emission probes of the passive waveguide devices and the active waveguide devices are connected with a collection device through signal lines, and the acoustic emission probes send induced acoustic emission signals to the collection device; the acquisition device receives the acoustic emission signals, then preprocesses the acoustic emission signals, extracts time-frequency domain features, and transmits the time-frequency domain features to the cloud system through a wireless network; the method is applied to field slope stability monitoring.

The invention provides a shape function KL expansion random field discretization method considering a slope soil body irregular domain, and belongs to the technical field of soil body parameter random field analysis. Comprising the following steps: establishing a slope numerical model and dividing a discrete grid and a form function grid; establishing a probability distribution model of a soil parameter random field; calculating an element stiffness submatrix ke and an element mass matrix Ee; calculating an autocorrelation matrix rho and a global stiffness matrix B; assembling a global matrix; calculating a characteristic value lambda k, a characteristic function phi k and an expansion term number M; and random field discretization of the slope numerical model is realized. The random field discrete technology provided by the invention is used for efficiently and accurately analyzing the random distribution characteristics of the soil parameters in the rock-soil structure. The discrete random field model can be efficiently constructed in a complex geological structure, the calculation cost is remarkably reduced, the method can be conveniently combined with numerical simulation tools such as a finite element method, and the requirement of actual engineering for efficiency is met while the precision is improved.

The invention provides a method for predicting settlement of a transformer substation in a collapsible loess area based on a neural network, and relates to the technical field of geological engineering monitoring. Then, settlement characteristic indexes such as collapsibility, bearing capacity influence and deformation stability are obtained through analysis, a prediction model is established with soil mass mechanical data as input and the settlement characteristic indexes as output, the model performance is optimized through a particle swarm optimization algorithm and a loss function, and finally a fitness function is constructed according to the settlement characteristic indexes. And calculating the settlement fitness value of each sub-region, evaluating the settlement amount in combination with load time sequence data, setting a settlement threshold value, and carrying out risk marking on the sub-regions exceeding the threshold value. The settlement risk of the loess area where the transformer substation is located is effectively evaluated and controlled by establishing the settlement characteristic index prediction model and the dynamic monitoring mechanism.

The invention provides a soil moisture content detection method based on unsteady heat conduction and optical fiber temperature measurement, which comprises the following steps: heating a soil body in a target measurement area based on an active heating method, and measuring the temperature value of the soil body at each moment under different radial distances from a heating source in the heating process; substituting the soil body temperature value at any moment in the heating process and the corresponding radial distance into a predetermined soil body moisture content relation model to obtain the soil body moisture content at the position corresponding to the radial distance from the heating source in the target measurement area at the corresponding moment; and determining the soil mass moisture content of the target measurement area according to the soil mass moisture content at each radial distance position from the heating source in the target measurement area at the corresponding moment. According to the method, the relationship between the soil moisture content and the soil temperature value is established, and in-situ monitoring and long-time monitoring of the large-range soil in the target measuring area are achieved through the soil temperature value obtained through the active heating method.

The invention discloses a coal mine slope stability analysis method based on numerical simulation. The coal mine slope stability analysis method comprises the following steps: acquiring strength and permeability data of a rock-soil body through a field investigation point location, processing by adopting a statistical analysis method, obtaining initial parameter statistical characteristics, simulating parameter random distribution of the rock-soil body in a three-dimensional space, and obtaining a heterogeneous parameter distribution field; a finite element analysis method is adopted to calculate stress-strain response of the slope under external load and hydrological conditions, a local stress concentration area is determined, and a slope stability index is obtained; acquiring a local deviation value of a corresponding parameter distribution field for an area where the slope stability index exceeds the range, adjusting the deviation value through an iterative algorithm, and determining an optimized parameter distribution field; and performing finite element analysis again based on the optimized parameter distribution field, judging distribution positions of potential instability points, and determining a final risk boundary according to the distribution positions of the potential instability points. According to the method, the scientificity and reliability of slope stability evaluation are improved.

The invention discloses a method for inverting field scale debris flow through earth sound signals, and the method comprises the following steps: S1, constructing a conversion relation between debris flow earth sound signals and vibration signals, converting the physical work of a rock-soil body into signal work, and constructing a theoretical relation between the signal amplitude epsilon'of an FBG sensor and the single compression work W of the rock-soil body; and S2, on the basis of the theoretical basis of the step S1, constructing a physical model for inverting the debris flow. According to the method, inverse operation of Fch-kinetic parameters can be completed, an inversion chain of'earth sound signals-Fch-kinetic parameters' is formed, and a physical model of earth sound inversion debris flow is successfully constructed.

A stratum reinforcement modeling and analysis method for a shield tunnel crossing an existing structure is provided. Geological information and an engineering structure condition of the existing structure are acquired. Physical parameters of different soil mass layers are determined based on a laboratory test. A three-dimensional (3D) model is constructed. Mesh generation is performed on the 3D model defining a constraint for the 3D model. Model parameters are selected for the 3D model. A soil mass constitutive model is selected for the 3D model. Synchronous grouting simulation, construction load simulation and shield tunneling construction simulation are performed on the 3D model. Stratum parameters are changed to achieve stratum reinforcement modeling. Data analysis is performed by adopting different reinforcement schemes to achieve stratum reinforcement modeling and numerical analysis of the process of the shield tunnel crossing the existing structure.

The invention relates to the field of geotechnical engineering, and discloses a portable intelligent measuring device and method for the optimal moisture content and the maximum dry density of a soil mass, and the device comprises an automatic sample preparation system integrating stirring, heating and water adding functions, a similar compaction system based on static pressure and frictional resistance measurement, and an intelligent control system, the detachable inner barrel is used as a connecting core; the method comprises the following steps: automatically preparing a series of to-be-detected soil samples with different water contents, performing class compaction on each soil sample to measure corresponding interface friction resistance, and finally calling a conversion model by an intelligent system, and calculating and outputting the optimal water content and the maximum dry density. According to the invention, automatic sample preparation, indirect measurement and intelligent analysis are modularly integrated, so that a traditional compaction test is converted into an automatic test process which can be quickly and accurately completed on an engineering site, and the problems that the test period is long, the test depends on a laboratory, and site construction cannot be timely guided in the prior art are solved.

The utility model discloses a monitoring system of a barrel type foundation structure, and relates to the technical field of barrel type foundations. The monitoring system provided by the utility model comprises a barrel type foundation monitor and a foundation soil monitor, the barrel type foundation monitoring comprises a settlement monitoring point, a displacement monitoring point, a soil pressure monitoring point and a stress-strain monitoring point; the foundation soil monitoring comprises a soil mass deep layered settlement monitoring point, a soil mass lateral displacement monitoring point and a foundation soil pore water pressure monitoring point; the barrel type foundation monitor is arranged on the foundation barrel body; the foundation soil monitoring devices are arranged between the adjacent foundation barrels and located on the backfilling sides of the foundation barrels. According to the monitoring system of the barrel type foundation structure, the barrel type foundation monitoring is arranged on the whole foundation body, and the foundation soil monitoring is arranged on the adjacent foundation barrel body, so that the real condition of a wharf can be known in time, the design is further optimized, reasonable construction parameters are determined, and a technical foundation is laid for expanding popularization and application.

Disclosed in the present invention is a protection structure for a deep excavation cutting slope, the protection structure comprising: a protection plate assembly, which comprises an inner protection plate covering a slope body and an outer protection plate provided above the inner protection plate, wherein vertical sleeves distributed in a grid pattern are provided on the inner protection plate, and circular slots allowing the vertical sleeves to pass through are formed in the lower portion of the outer protection plate; a fixing assembly, which comprises a plurality of rows of anchor rods, each anchor rod comprising a threaded section matched with an internal thread and a smooth section capable of moving relative to a vertical sleeve; and an adjusting assembly, which comprises a plurality of rows of telescopic springs I, an adjusting rod connected to any row of telescopic springs I, a vertical column provided on a crest and extending into a soil mass, and a slide rail column provided on a toe, one end of the adjusting rod being connected to the vertical rod, and the other end thereof being vertically slidably connected to the slide rail column. The present invention can improve the stability of slopes, and further the protection structure can be finely adjusted in real time in response to deformation of soil masses of slopes.

The invention provides an ecological slope protection structure and a construction method thereof, and relates to the field of slope engineering, the ecological slope protection structure comprises a geocell arranged in a shallow soil body of a slope surface, and plants are planted in the geocell; the precast concrete beam is arranged on the upper surface of the geocell and is arranged along the inclination direction of the slope slope surface; the cast-in-place concrete beams are arranged on the slope top, the slope middle and the slope toe respectively, the cast-in-place concrete beam located on the slope top is connected with the top of the prefabricated concrete beam, the cast-in-place concrete beam located on the slope toe is connected with the bottom of the prefabricated concrete beam, and the cast-in-place concrete beam located on the slope middle presses the prefabricated concrete beam on the slope face of the slope. The method has the effect of improving the overall stability of the slope.

The invention discloses a vane shear test method, which comprises the following steps of: drilling at a test point, lowering a central rotating shaft with an outer sleeve and a shoe and a vane head to the bottom of a hole, and pressing the central rotating shaft after the vane head reaches the bottom of the hole, so that the vane head enters a soil body; mounting the vane shear apparatus, connecting the central rotating shaft with the torque sensor, and rotating the locking handle to lock the outer sleeve; power is supplied to the vane shear apparatus, and the vane shear apparatus is started through the operation keyboard; a project name, a drilling number and a test depth are input, a test start button is clicked to start a vane shear test, the rotating speed of a motor is adjusted to be preset through a speed reducer, the vane shear test is performed on undisturbed soil and remolded soil respectively, and the sensitivity of the vane shear test depth is calculated after the test is finished; after the vane shear test is completed, data are exported, and test data are imported into a storage device; the locking handle is unscrewed, and the connection between the central rotating shaft and the torque sensor is removed.

The invention discloses an interface type landslide reduced scale model test sliding surface stress concentration identification method and structure. The upper covering soil body is arranged on the bed rock, and a sliding interface is formed on the contact surface of the upper covering soil body and the bed rock; the roller is arranged at the sliding interface, one part of the roller is positioned in the overlying soil body, and the other part of the roller is positioned in the bed rock; the protective shell is arranged in the bedrock, the rolling wheel is rotationally installed in the protective shell, and the protective shell isolates the rolling wheel from the bedrock; the monitoring assembly comprises a monitoring module, a controller and a display module, the monitoring module is used for monitoring the rotating speed and the rotating distance of the roller, the controller is used for receiving and processing monitoring information of the monitoring module, and the monitoring information is displayed through the display module. According to the method, the displacement development rule of the sliding interface in the soil body can be observed, the process from non-stress to emergency concentration to stress concentration damage of the soil body at different positions in the sliding interface can be observed from a dynamic angle, and the development condition of the sliding surface of the reduced scale model test can be judged.

The invention relates to the technical field of geotechnical engineering investigation, and particularly discloses a seabed stratum identification method based on CPTU. The method comprises the following steps: acquiring and preprocessing CPTU data; dividing a training set and a test set, and calculating a feature prototype vector of each type of soil mass; constructing a characteristic parameter sensitivity matrix by disturbing each characteristic of the prototype vector and calculating a cosine similarity change rate; calculating the average sensitivity of each feature based on the matrix, and determining a global feature weight vector; weighting the to-be-identified sample and the prototype vector by using the weight vector, and calculating cosine similarity between weighted vectors; and determining the soil body type according to the highest similarity. According to the method, physical response differences of different soil bodies to CPTU parameters are quantified through sensitivity analysis, feature importance is embodied through weight vectors, the defects of parameter sensitivity imbalance and machine learning'black box 'processing of a traditional method are overcome, classification accuracy and thin interbed resolution capability are improved, and meanwhile, the classification accuracy and the thin interbed resolution capability are improved. And the interpretability and the engineering practicability of the model are obviously enhanced.

The invention provides a large-size sample sampling method for mine rock mass or cold region mine frozen soil mass, which comprises the following steps: marking a cutting range on a free surface, and drilling at the vertex of the cutting range; anchor rods are fixed in the drill holes; the diamond string bead rope is wound between two reversing pulleys, the reversing pulleys extend into the drill hole through a mounting rod and are connected to the top of the anchor rod, and the angle of the reversing pulleys is adjusted, so that the rope outlet direction of the reversing pulleys is the same as the to-be-cut direction; the diamond beaded rope is tensioned and connected to a rope saw, the rope saw is started, the diamond beaded rope cuts the vertical face along the to-be-cut position, the steps are repeated, and all the vertical faces are cut; the angle of the two reversing pulleys is adjusted, the diamond beaded rope winds around the rock sample subjected to vertical face cutting in the horizontal direction, the rope saw is started, the diamond beaded rope cuts along the bottom face of the rock sample, and the rock sample is taken out after cutting is completed. According to the invention, large-size sampling is facilitated, the size of the taken rock sample is relatively regular, and the damage degree is low.

The invention relates to a monitoring device for monitoring the amount of loose soil taken out and / or for monitoring the enlargement of the aperture for establishing an annular space during the establishment of a drill hole in a soil mass (10) by the advancement of a drilling device (20), the invention relates to a monitoring device (30), which can be arranged below an opening (25) in a peripheral wall (3) of a drilling device (20) or below an opening in an outer wall of a pipe section of the drilling device or below an opening of a support pipe, the drilling device (20) being a drilling device for establishing a drill hole in a soil mass from a starting point to a target point, the monitoring device (30) having a receptacle (4), the invention relates to a monitoring device (30) for a motor vehicle, comprising a receptacle (32) having an interior space (33) and a through-hole for arrangement in the region of the opening (25), comprising a monitoring element (5) which is arranged in the interior space (33) so as to be pivotable about a pivot axis (6), and comprising an actuator (11) which is connected to the monitoring element (5), the monitoring element (5) can be moved in a pivoting direction (A) by means of the actuator (11), the monitoring element (5) has a pivoting range such that the monitoring element (5) can be moved through the through-hole, and the monitoring element (5) has at least one contact surface (9) which is in contact with a borehole wall (13) / soil mass (10) in the state in which the monitoring element (5) is pivoted out.

The invention relates to the technical field of geotechnical engineering model tests, and discloses a simulation device for pipeline leakage considering sandy soil foundation variability, which comprises a soil parameter field modeling module, a 3D printing modeling system, a model box, a pipeline, a water pressure loading system, a CCD continuous camera, a data acquisition system and a computer. A three-dimensional sand parameter field model is constructed through CPT field data, a sand foundation with spatial variability is generated in combination with a random field theory, and spatial distribution of mechanical parameters of a soil body is accurately reproduced by utilizing a multi-material 3D printing technology. The pipeline leakage process is simulated through controllable water pressure loading, and soil settlement and pipeline deformation are monitored in real time in combination with CCD imaging and a data acquisition system. The problems that in a traditional test, soil mass heterogeneity simulation and variability simulation technologies are lacked, and seepage-deformation coupling mechanism characterization is not clear are solved, and a reliable test platform is provided for mechanism analysis and prevention and control technology research and development of urban underground pipeline leakage disasters.

The present application relates to a kind of rock-soil body borehole automatic layering and drilling process supervision method, comprising: installing or embedding sensor unit and data acquisition device on drilling machine;Monitoring and recording drill bit displacement, drilling machine hydraulic oil pressure, drill pipe rotating speed and drilling time, dividing auxiliary process and pure drilling process;Drilling depth-time curve of pure drilling process, reset collection interval time;Identify drilling speed turning point on the drilling depth-time curve of pure drilling process;Determine the drilling depth interval between adjacent two turning points and corresponding drilling speed, complete the automatic layering of rock-soil body;Analyze the data collected in auxiliary process, eliminate possible data forgery problem, complete the drilling process supervision of rock-soil body.The present application overcomes the shortcomings of traditional drilling manual recording, realizes the purpose of automatic layering and supervision of stratum in drilling process by analyzing drilling displacement, drilling machine hydraulic oil pressure, drill pipe rotating speed and drilling time.